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pro vyhledávání: '"Murayshid, Hanan S."'
Autor:
Rampal, Nakul, Wang, Kaiyu, Burigana, Matthew, Hou, Lingxiang, Al-Johani, Juri, Sackmann, Anna, Murayshid, Hanan S., Al-Sumari, Walaa Abdullah, Al-Abdulkarim, Arwa M., Al-Hazmi, Nahla Eid, Al-Awad, Majed O., Borgs, Christian, Chayes, Jennifer T., Yaghi, Omar M.
The rapid advancement in artificial intelligence and natural language processing has led to the development of large-scale datasets aimed at benchmarking the performance of machine learning models. Herein, we introduce 'RetChemQA,' a comprehensive be
Externí odkaz:
http://arxiv.org/abs/2405.02128
This paper proposes a sequence-to-sequence learning approach for Arabic pronoun resolution, which explores the effectiveness of using advanced natural language processing (NLP) techniques, specifically Bi-LSTM and the BERT pre-trained Language Model,
Externí odkaz:
http://arxiv.org/abs/2305.11529